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An Efficient and Robust Numerical Solution of the Full-Order Multiscale Model of Lithium-Ion Battery

机译:锂离子电池全阶多尺度模型的高效稳健数值解

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We propose a novel and efficient numerical approach for solving the pseudo two-dimensional multiscale model of the Li-ion cell dynamics based on first principles, describing the ion diffusion through the electrolyte and the porous electrodes, electric potential distribution, and Butler-Volmer kinetics. The numerical solution is obtained by the finite difference discretization of the diffusion equations combined with an original iterative scheme for solving the integral formulation of the laws of electrochemical interactions. We demonstrate that our implementation is fast and stable over the expected lifetime of the cell. In contrast to some simplified models, it provides physically consistent results for a wide range of applied currents including high loads. The algorithm forms a solid basis for simulations of cells and battery packs in hybrid electric vehicles, with possible straightforward extensions by aging and heat effects.
机译:我们提出了一种新颖有效的数值方法,用于基于第一个原理来解决锂离子电池动力学的伪二维多尺度模型,该模型描述了通过电解质和多孔电极的离子扩散,电势分布和Butler-Volmer动力学。数值解是通过扩散方程的有限差分离散化与原始迭代方案相结合来求解电化学相互作用定律的积分公式而获得的。我们证明了我们的实现在电池的预期寿命内是快速且稳定的。与某些简化模型相比,它为包括高负载在内的各种应用电流提供了物理上一致的结果。该算法为混合动力汽车中的电池和电池组的仿真奠定了坚实的基础,并可能因老化和热效应而直接扩展。

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  • 来源
    《Mathematical Problems in Engineering 》 |2018年第2期| 3530975.1-3530975.12| 共12页
  • 作者单位

    Czech Tech Univ, Fac Nucl Sci & Phys Engn, Dept Math, Trojanova 13, Prague 12000 2, Czech Republic;

    Czech Tech Univ, Fac Nucl Sci & Phys Engn, Dept Math, Trojanova 13, Prague 12000 2, Czech Republic;

    Honeywell Prague Lab, V Parku 2326-18, Prague 14800 4, Czech Republic;

    Czech Tech Univ, Fac Nucl Sci & Phys Engn, Dept Math, Trojanova 13, Prague 12000 2, Czech Republic;

    Czech Tech Univ, Fac Nucl Sci & Phys Engn, Dept Math, Trojanova 13, Prague 12000 2, Czech Republic;

    Czech Tech Univ, Fac Nucl Sci & Phys Engn, Dept Math, Trojanova 13, Prague 12000 2, Czech Republic;

    Czech Tech Univ, Fac Nucl Sci & Phys Engn, Dept Math, Trojanova 13, Prague 12000 2, Czech Republic;

    Czech Tech Univ, Fac Nucl Sci & Phys Engn, Dept Math, Trojanova 13, Prague 12000 2, Czech Republic;

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